1 00:00:20,030 --> 00:00:21,414 Speaker 1: Hello Habit Mechanics . 2 00:00:21,414 --> 00:00:22,896 It's Dr John Finn here. 3 00:00:22,896 --> 00:00:25,262 I hope you're having a fantastic week so far. 4 00:00:25,262 --> 00:00:30,939 So, as promised, I want to build on the last podcast, so if 5 00:00:30,939 --> 00:00:34,390 you haven't listened to that, go back and listen to it where I 6 00:00:34,390 --> 00:00:44,861 talked about the problems that we face if we want to thrive in 7 00:00:44,900 --> 00:00:47,704 the AI era and of course, everybody does. 8 00:00:49,204 --> 00:00:53,139 When I talk about, I talk about the foundational challenges with 9 00:00:53,139 --> 00:00:54,564 the approaches that we're using . 10 00:00:54,564 --> 00:00:58,014 They're not really designed with the brain in mind. 11 00:00:58,014 --> 00:01:01,981 They don't recognize that most of what we think and do is 12 00:01:02,061 --> 00:01:05,710 automatic or semi-automatic and therefore any solution to help 13 00:01:05,790 --> 00:01:10,402 our brains to work better, to help us to improve our cognitive 14 00:01:10,402 --> 00:01:15,896 performance, has to be based on a first principle approach. 15 00:01:15,896 --> 00:01:18,040 That means that we have to recognize, well, this is how 16 00:01:18,061 --> 00:01:25,140 brains work and therefore any support we give people needs to 17 00:01:25,200 --> 00:01:27,465 take how brains work into consideration. 18 00:01:27,465 --> 00:01:30,897 People don't just do what they know they should do and agree 19 00:01:31,699 --> 00:01:32,401 they should do. 20 00:01:32,401 --> 00:01:37,792 They do what they're in the habit of doing, and that's why 21 00:01:38,152 --> 00:01:44,320 sports science was so successful in literally revolutionising 22 00:01:44,382 --> 00:01:47,385 the physical performance of athletes. 23 00:01:51,072 --> 00:01:54,377 And in my head I always have this reference won't land with 24 00:01:54,396 --> 00:01:58,430 everybody, but in my head I always have that England Euro 96 25 00:01:58,430 --> 00:02:03,413 sort of dentist chair, as it was called after Paul Gascoigne 26 00:02:03,552 --> 00:02:11,093 scored against Scotland at Wembley and he ran to the corner 27 00:02:11,093 --> 00:02:17,025 and he was being poured the sports drink into his mouth by 28 00:02:17,129 --> 00:02:18,072 his teammates. 29 00:02:18,072 --> 00:02:25,544 But that, of course, was taken from this infamous episode. 30 00:02:25,544 --> 00:02:28,870 I think it was in Hong Kong or Singapore or somewhere where 31 00:02:28,890 --> 00:02:35,397 they'd been on a pre-tournament training camp and they ended up 32 00:02:35,417 --> 00:02:38,337 in a nightclub and there was this thing called the dentist 33 00:02:38,378 --> 00:02:44,141 chair, where you sat in and someone poured a lot of spirits 34 00:02:44,200 --> 00:02:48,169 into your mouth, where you're sat in and someone poured a lot 35 00:02:48,188 --> 00:02:48,849 of spirits into your mouth. 36 00:02:48,849 --> 00:02:52,014 So that sort of episode versus someone like Cristiano Ronaldo 37 00:02:52,034 --> 00:02:55,302 and the modern footballer and the completely different 38 00:02:55,342 --> 00:02:58,129 approach that they took to his performance. 39 00:02:58,129 --> 00:03:12,724 And, of course, the success of sports science was that it 40 00:03:12,743 --> 00:03:15,251 became an insurmountable competitive advantage, so 41 00:03:15,352 --> 00:03:16,637 everybody had to adopt it. 42 00:03:16,637 --> 00:03:19,472 But it's because the sports science worked, because it was 43 00:03:19,552 --> 00:03:24,033 based on one of the first principles, the fundamental 44 00:03:24,574 --> 00:03:26,781 principles of how human physiology works. 45 00:03:27,673 --> 00:03:32,225 And if we want to develop soccer players or footballers or tordy 46 00:03:32,225 --> 00:03:34,832 fran cyclists maybe not go there with that, actually, but 47 00:03:35,534 --> 00:03:39,763 um, you know, tiger woods did it in golf whoever we want to 48 00:03:39,802 --> 00:03:43,724 develop, to become better physically, we have to start 49 00:03:43,743 --> 00:03:46,735 with those foundational principles, and that, for me, is 50 00:03:46,735 --> 00:03:49,965 why the AI era is so exciting because it gives us this 51 00:03:50,346 --> 00:03:54,417 unprecedented opportunity to enhance our cognitive 52 00:03:54,456 --> 00:03:58,266 performance, which is your most valuable asset. 53 00:03:58,266 --> 00:03:59,911 It's my most valuable asset. 54 00:03:59,911 --> 00:04:04,242 It's a business's most valuable asset brain power drives 55 00:04:04,421 --> 00:04:08,432 everything, but unfortunately, it's becoming harder and harder 56 00:04:08,451 --> 00:04:15,147 to get our brains working well, and one of the things I think is 57 00:04:15,147 --> 00:04:18,793 really important that we understand is that lots of 58 00:04:18,853 --> 00:04:26,122 businesses are trying to capitalize on the performance 59 00:04:27,242 --> 00:04:33,879 gains that AI can offer, and they're doing that because 60 00:04:33,899 --> 00:04:39,838 they're seeing other businesses being successful when they 61 00:04:39,899 --> 00:04:46,120 implement AI tools and, according to big sets of data, 62 00:04:47,391 --> 00:04:54,483 when businesses get this right, they're able to grow 2.5% faster 63 00:04:54,483 --> 00:04:54,483 . 64 00:04:54,483 --> 00:05:04,574 They're able to create 1.6 times greater shareholder 65 00:05:04,876 --> 00:05:10,730 returns and other financial measures, but it's not just that 66 00:05:10,730 --> 00:05:20,478 they're able to create cultures where people feel happier and 67 00:05:20,519 --> 00:05:21,701 more engaged at work. 68 00:05:21,701 --> 00:05:27,750 But unfortunately, those businesses that are succeeding 69 00:05:28,251 --> 00:05:31,180 only represent a tiny number of businesses that are trying to 70 00:05:31,220 --> 00:05:35,685 succeed, and the biggest barrier , if you look at multiple sets 71 00:05:35,887 --> 00:05:40,367 of research that keeps coming up , is that when businesses are 72 00:05:40,447 --> 00:05:45,800 failing to get value out of AI and I think about 75% of them 73 00:05:45,980 --> 00:05:50,838 are, according to the data it's not the tech that's the problem. 74 00:05:50,838 --> 00:05:54,199 It's that people are drained. 75 00:05:54,199 --> 00:05:58,622 People are the barrier, not deliberately. 76 00:05:58,622 --> 00:06:02,134 It's because we're mentally fatigued, we're cognitively 77 00:06:02,194 --> 00:06:06,329 overwhelmed, and the AI comes in and it just gives us another 78 00:06:06,449 --> 00:06:11,098 thing to have to process, another thing to adapt to so we 79 00:06:11,158 --> 00:06:15,192 can unleash all the benefits of the ai revolution. 80 00:06:15,394 --> 00:06:18,706 Unless people's brains are working well and of course, we 81 00:06:18,766 --> 00:06:21,172 know that the traditional approach is to help people's 82 00:06:21,232 --> 00:06:24,158 brains work well don't work, otherwise we wouldn't be in this 83 00:06:24,158 --> 00:06:24,778 mess, right? 84 00:06:24,778 --> 00:06:26,120 Um? 85 00:06:26,120 --> 00:06:28,185 You know all the, all the numbers I talk about. 86 00:06:28,185 --> 00:06:31,971 A lot still still stand over 20 000 people a month in the uk 87 00:06:31,992 --> 00:06:34,497 being signed off on the sick with anxiety and depression. 88 00:06:34,497 --> 00:06:40,031 In the us, I think, um, I think about 25 of the adult 89 00:06:40,052 --> 00:06:42,155 population have a mental health diagnosis. 90 00:06:42,155 --> 00:06:46,639 That's about 53 million people. 91 00:06:46,639 --> 00:06:54,852 Um, so, and the things that we've been trying to do to get 92 00:06:54,912 --> 00:06:57,317 our brains working well, to enhance our cognitive 93 00:06:57,357 --> 00:06:59,607 performance, haven't worked, and that's why the BrainState 94 00:06:59,646 --> 00:07:03,875 methodology that I unpack in Train your Brain for the AI 95 00:07:03,915 --> 00:07:10,932 Revolution is so key, and we've been using that now for a long 96 00:07:10,992 --> 00:07:15,519 time and we've developed it with thousands of people. 97 00:07:15,519 --> 00:07:20,211 It's really, really robust, but ultimately, knowing how to use 98 00:07:20,252 --> 00:07:24,867 it is one thing, reading a book about it is one thing, putting 99 00:07:24,887 --> 00:07:26,393 it into practice is a different story. 100 00:07:27,547 --> 00:07:30,002 And that brings me on what I want to talk about on this 101 00:07:30,062 --> 00:07:30,324 podcast. 102 00:07:30,324 --> 00:07:35,997 So, to follow up from the previous podcast, I'm actually 103 00:07:36,018 --> 00:07:36,179 going to. 104 00:07:36,179 --> 00:07:42,026 So to follow up from the previous podcast, I want to have 105 00:07:42,026 --> 00:07:43,711 a three-part focus on becoming a human AI coach, what that 106 00:07:43,732 --> 00:07:45,516 means, where it fits into the workplace. 107 00:07:45,516 --> 00:07:50,114 So that's what I will focus on in this episode. 108 00:07:50,114 --> 00:07:54,514 Then the next episode I want to talk about what do you actually 109 00:07:54,514 --> 00:07:58,376 do as a human AI coach? 110 00:07:58,376 --> 00:08:02,788 And then in the third episode I'm going to talk about it more 111 00:08:03,530 --> 00:08:08,254 strategically as part of a bigger play for businesses who 112 00:08:08,275 --> 00:08:12,418 are trying to create what I call brain state intelligent 113 00:08:12,459 --> 00:08:16,804 cultures, which I think will be the winning cultures in this era 114 00:08:16,804 --> 00:08:16,804 . 115 00:08:16,804 --> 00:08:21,518 Workplaces where people are healthy, happy, can be at their 116 00:08:21,557 --> 00:08:23,985 best, can do the kind of work that makes them feel good about 117 00:08:24,007 --> 00:08:26,235 themselves, and therefore businesses that are thriving. 118 00:08:27,499 --> 00:08:31,550 So we have to take a human centric approach if we want to 119 00:08:31,590 --> 00:08:35,857 capitalize on what the ai revolution offers, and right now 120 00:08:35,857 --> 00:08:36,239 we're not. 121 00:08:36,239 --> 00:08:38,713 We're taking a technological-centric approach, 122 00:08:39,245 --> 00:08:42,788 we're thinking about all the shiny new tools, not optimizing 123 00:08:42,848 --> 00:08:48,336 ourselves first and foremost, and what I'm going to share in 124 00:08:48,376 --> 00:08:53,290 this podcast for the rest of this podcast is just a short 125 00:08:53,330 --> 00:08:57,945 chapter from Train your Brain for the AI Revolution, and the 126 00:08:57,985 --> 00:09:02,987 chapter's called the Three Roles Reshaping Our Future, and it's 127 00:09:03,007 --> 00:09:06,311 from step five of the book, which is change lives with the 128 00:09:06,351 --> 00:09:09,408 success cycle, coaching and leading the brain state 129 00:09:09,428 --> 00:09:16,239 revolution, and in this chapter I'm predicting a couple of 130 00:09:16,340 --> 00:09:18,790 technical roles that I think will become dominant in the 131 00:09:18,871 --> 00:09:19,232 future. 132 00:09:19,232 --> 00:09:23,001 But I also think the most important role that is going to 133 00:09:23,062 --> 00:09:26,627 emerge and is emerging right now and we're already training 134 00:09:26,687 --> 00:09:31,394 people how to do this is the role of the human AI coach, 135 00:09:32,544 --> 00:09:40,376 because cognitive performance the AI revolution is making 136 00:09:40,477 --> 00:09:44,424 cognitive performance more important than ever before, 137 00:09:46,929 --> 00:09:50,197 because the pace of change is getting faster and faster and 138 00:09:50,257 --> 00:09:50,618 faster. 139 00:09:50,618 --> 00:09:56,952 So we need to be more mentally agile and right now, people are 140 00:09:56,972 --> 00:09:57,375 struggling. 141 00:09:57,375 --> 00:10:01,310 They're not able to do this, so what they need is a coach, is 142 00:10:01,330 --> 00:10:05,248 an expert to actually work with them, step by step, to show them 143 00:10:05,248 --> 00:10:08,786 how to optimize how they manage their brain states and 144 00:10:08,806 --> 00:10:10,954 therefore optimize their cognitive performance. 145 00:10:10,954 --> 00:10:15,554 So what I'm going to share is an overview of what that looks 146 00:10:15,615 --> 00:10:24,211 like and why I think the human AI coach is going to be, I think 147 00:10:24,211 --> 00:10:27,537 , the most important role in workplaces going forwards. 148 00:10:27,537 --> 00:10:31,515 So here it is chapter 26. 149 00:10:31,515 --> 00:10:34,848 Remember, you can listen to the full book the full book inside 150 00:10:34,928 --> 00:10:37,255 it, for free, inside of the Habit Mechanic University app, 151 00:10:39,331 --> 00:10:42,867 which you can access via our website, and also the audiobook 152 00:10:42,927 --> 00:10:48,628 now is starting to pop up on mainstream audiobook platforms 153 00:10:48,808 --> 00:10:52,305 that you may already subscribe to or that you might want to buy 154 00:10:52,305 --> 00:10:53,471 the full book from. 155 00:10:53,471 --> 00:10:55,549 So, yeah, this is chapter 26. 156 00:10:55,549 --> 00:10:59,471 Enjoy Chapter 26. 157 00:11:00,204 --> 00:11:02,473 The three roles reshaping our future. 158 00:11:02,473 --> 00:11:07,911 Sarah sat at her desk reflecting on how far she'd come 159 00:11:07,911 --> 00:11:09,832 in mastering her brain states. 160 00:11:09,832 --> 00:11:13,634 Something profound has shifted, she realised. 161 00:11:13,634 --> 00:11:16,684 It's not just about using AI tools anymore. 162 00:11:16,684 --> 00:11:21,235 It's about understanding how humans and technology can truly 163 00:11:21,435 --> 00:11:22,298 enhance each other. 164 00:11:22,298 --> 00:11:27,326 This insight led her to a deeper revelation about the 165 00:11:27,387 --> 00:11:31,296 extraordinary transformation happening across every industry. 166 00:11:31,296 --> 00:11:35,693 The AI revolution is transforming work in a 167 00:11:35,814 --> 00:11:36,636 fundamental way. 168 00:11:36,636 --> 00:11:41,733 The industrial revolution showed us how machines could 169 00:11:41,774 --> 00:11:45,449 take over physical labour, freeing humans from 170 00:11:45,529 --> 00:11:46,853 back-breaking manual work. 171 00:11:46,853 --> 00:11:51,334 Now the AI revolution is doing something similar with mental 172 00:11:51,375 --> 00:11:51,596 work. 173 00:11:51,596 --> 00:11:57,061 Ai will handle most of the routine cognitive tasks humans 174 00:11:57,382 --> 00:11:58,526 are currently paid to do. 175 00:11:58,526 --> 00:12:02,157 This creates an extraordinary opportunity. 176 00:12:02,157 --> 00:12:07,190 Instead of spending our days on repetitive mental tasks, humans 177 00:12:07,190 --> 00:12:11,566 can focus on work that engages our unique cognitive abilities 178 00:12:12,468 --> 00:12:16,376 the kind of thinking that's both more fulfilling for us and more 179 00:12:16,376 --> 00:12:18,087 valuable in the AI era. 180 00:12:18,087 --> 00:12:23,111 Based on my deep understanding of human brain capabilities, 181 00:12:23,572 --> 00:12:27,848 potential limitations of AI technology and my work with over 182 00:12:27,848 --> 00:12:32,357 20,000 professionals, I believe we're seeing the emergence of 183 00:12:32,464 --> 00:12:34,552 three distinct roles in this new era. 184 00:12:34,552 --> 00:12:38,867 While others might see different futures, I predict 185 00:12:38,907 --> 00:12:43,780 these roles will dominate how humans create value alongside AI 186 00:12:43,780 --> 00:12:43,780 . 187 00:12:43,780 --> 00:12:47,327 Here are the three distinct roles 1. 188 00:12:47,327 --> 00:12:48,829 The innovators. 189 00:12:48,829 --> 00:12:50,211 2. 190 00:12:50,211 --> 00:12:51,372 The automators. 191 00:12:51,372 --> 00:12:52,774 3. 192 00:12:52,774 --> 00:12:54,476 Human AI coaches. 193 00:12:54,476 --> 00:12:58,205 Here are more details on each 1 . 194 00:12:58,867 --> 00:13:01,896 The innovators creating our future. 195 00:13:01,896 --> 00:13:05,868 Innovators are literally creating the future before our 196 00:13:06,008 --> 00:13:10,454 eyes, using AI to extend their high-charge brain states and 197 00:13:10,514 --> 00:13:14,659 human intelligence in ways previously unimaginable. 198 00:13:14,659 --> 00:13:18,767 In ways previously unimaginable , consider how medical 199 00:13:18,787 --> 00:13:20,599 researchers now use AI to screen millions of molecular 200 00:13:20,660 --> 00:13:25,004 combinations and identify promising antibiotic candidates 201 00:13:25,526 --> 00:13:30,075 in months instead of years, work that's crucial for fighting 202 00:13:30,397 --> 00:13:34,052 drug-resistant bacteria that threatens millions of lives 203 00:13:34,353 --> 00:13:34,934 worldwide. 204 00:13:34,934 --> 00:13:39,991 These innovators are shaping our future by developing 205 00:13:40,293 --> 00:13:45,147 breakthrough vaccines and medical treatments, creating 206 00:13:45,227 --> 00:13:51,207 next generation AI systems that transform industries, designing 207 00:13:51,287 --> 00:13:55,606 sustainable solutions for climate change, building new 208 00:13:56,128 --> 00:13:59,236 educational systems that personalise learning, 209 00:14:00,164 --> 00:14:03,054 revolutionising healthcare delivery and patient care, 210 00:14:04,104 --> 00:14:09,728 transforming how we travel, live and work, inventing new ways to 211 00:14:09,728 --> 00:14:12,856 produce and distribute clean energy. 212 00:14:12,856 --> 00:14:17,915 But here's what separates successful innovators from those 213 00:14:17,915 --> 00:14:20,743 who struggle their brain state profiles. 214 00:14:20,743 --> 00:14:26,277 The most effective innovators maintain arrowhead profiles, 215 00:14:26,824 --> 00:14:31,106 which I first introduced in Chapter 9, consistently 216 00:14:31,166 --> 00:14:35,256 optimising their daily premium cognitive performance. 217 00:14:35,256 --> 00:14:41,192 This difference enables them to Direct AI tools with sustained 218 00:14:41,333 --> 00:14:46,635 clarity and focus, maintain creative energy for breakthrough 219 00:14:46,635 --> 00:14:47,076 thinking. 220 00:14:47,076 --> 00:14:49,914 Innovate faster than competitors. 221 00:14:51,264 --> 00:14:51,465 2. 222 00:14:51,465 --> 00:14:55,275 The Automators Engineering the future. 223 00:14:55,275 --> 00:14:59,834 The second role is already transforming how we live and 224 00:14:59,875 --> 00:15:00,115 work. 225 00:15:00,115 --> 00:15:03,612 Think about how banking has been transformed through 226 00:15:03,693 --> 00:15:04,275 automation. 227 00:15:04,275 --> 00:15:09,480 What once required visiting a physical branch, waiting in line 228 00:15:09,480 --> 00:15:13,550 and interacting with tellers for every transaction, now 229 00:15:13,590 --> 00:15:15,835 happens instantly through your smartphone. 230 00:15:15,835 --> 00:15:20,833 The modern banking experience demonstrates how automators are 231 00:15:20,894 --> 00:15:23,305 revolutionising traditional industries. 232 00:15:23,305 --> 00:15:25,568 But this is just the beginning. 233 00:15:26,669 --> 00:15:31,096 Automators are creating two types of solutions physical 234 00:15:31,136 --> 00:15:33,680 automation and digital automation. 235 00:15:33,680 --> 00:15:38,606 Here are some physical automation examples Advanced 236 00:15:38,686 --> 00:15:41,334 robotics for manufacturing and warehouses. 237 00:15:41,334 --> 00:15:46,044 Automated delivery systems and autonomous vehicles. 238 00:15:46,044 --> 00:15:50,235 Smart machinery for construction and agriculture. 239 00:15:50,235 --> 00:15:54,357 Automated medical equipment and diagnostic tools. 240 00:15:54,357 --> 00:15:58,269 Next-generation robots that handle dangerous tasks. 241 00:15:58,269 --> 00:16:02,397 Intelligent production lines that adapt in real-time. 242 00:16:02,397 --> 00:16:07,852 Here are some digital automation examples AI systems 243 00:16:08,293 --> 00:16:10,956 that handle routine office tasks . 244 00:16:10,956 --> 00:16:15,609 Software that automates customer service and support. 245 00:16:15,609 --> 00:16:20,660 Intelligent systems for data analysis and reporting. 246 00:16:20,660 --> 00:16:24,971 Digital workflows that streamline business processes. 247 00:16:24,971 --> 00:16:28,678 Platforms that automate financial planning. 248 00:16:28,678 --> 00:16:32,825 Business processes. 249 00:16:32,825 --> 00:16:34,168 Platforms that automate financial planning. 250 00:16:34,168 --> 00:16:35,329 Smart systems that optimize supply chains. 251 00:16:35,329 --> 00:16:39,096 Again, the most successful automators share a crucial 252 00:16:39,136 --> 00:16:42,827 advantage Arrowhead brain state profiles. 253 00:16:42,827 --> 00:16:48,035 This optimal state allows them to handle complex technical 254 00:16:48,096 --> 00:16:50,399 challenges while maintaining focus. 255 00:16:50,399 --> 00:16:54,995 See automation opportunities others miss. 256 00:16:54,995 --> 00:16:59,415 Build more effective solutions faster than competitors. 257 00:17:01,106 --> 00:17:01,406 3. 258 00:17:01,406 --> 00:17:05,376 The Human AI Coaches the Critical Link. 259 00:17:05,376 --> 00:17:10,476 Human AI coaches are pioneering a crucial new role in 260 00:17:10,516 --> 00:17:11,618 professional development. 261 00:17:11,618 --> 00:17:16,934 They help people maintain peak cognitive performance in a world 262 00:17:16,934 --> 00:17:20,711 where AI handles more routine mental tasks. 263 00:17:20,711 --> 00:17:24,725 Drawing on their understanding of brain states and human 264 00:17:24,825 --> 00:17:28,919 performance, these coaches guide others to work at their best, 265 00:17:29,340 --> 00:17:33,231 especially during periods of intense cognitive demands. 266 00:17:33,231 --> 00:17:37,904 Just as athletic coaches help athletes optimise their physical 267 00:17:37,904 --> 00:17:42,875 performance, think of human AI coaches as performance coaches 268 00:17:43,275 --> 00:17:43,957 for the mind. 269 00:17:43,957 --> 00:17:49,978 In the AI era, this is perhaps the most crucial role, the one 270 00:17:50,057 --> 00:17:52,566 Sarah found herself naturally growing into. 271 00:17:54,169 --> 00:17:57,414 Human AI coaches serve as essential guides in this 272 00:17:57,475 --> 00:18:00,058 transformation, with a two-fold mission. 273 00:18:00,058 --> 00:18:06,555 First, they must master their own brain states, achieving and 274 00:18:06,595 --> 00:18:11,764 maintaining their own arrowhead profile, because they model 275 00:18:12,205 --> 00:18:13,948 optimal performance for clients. 276 00:18:13,948 --> 00:18:19,899 Clear thinking is essential for effective coaching and training 277 00:18:19,899 --> 00:18:19,899 . 278 00:18:19,899 --> 00:18:25,991 They need sustained energy for deep coaching work and impactful 279 00:18:25,991 --> 00:18:27,515 delivery of training. 280 00:18:27,515 --> 00:18:33,086 Second, they guide others to peak performance, helping both 281 00:18:33,547 --> 00:18:38,277 innovators and automators develop and maintain arrowhead 282 00:18:38,317 --> 00:18:43,557 profiles by teaching brain state optimization techniques. 283 00:18:44,525 --> 00:18:47,690 Supporting sustainable habit formation. 284 00:18:47,690 --> 00:18:53,238 Ensuring premium cognitive performance when it matters most 285 00:18:53,238 --> 00:18:53,238 . 286 00:18:53,238 --> 00:18:54,980 Supporting sustainable habit formation. 287 00:18:54,980 --> 00:18:57,524 Ensuring premium cognitive performance when it matters most 288 00:18:57,524 --> 00:18:58,105 the human ear, eye edge. 289 00:18:58,105 --> 00:18:58,967 Think about what this means in practice. 290 00:18:58,967 --> 00:19:03,605 When two innovators compete to solve the same problem, the one 291 00:19:03,666 --> 00:19:07,707 with an arrowhead profile has significantly more hours of 292 00:19:07,807 --> 00:19:10,394 premium cognitive performance daily. 293 00:19:10,394 --> 00:19:15,096 They direct AI tools more effectively during high-charge 294 00:19:15,135 --> 00:19:15,557 states. 295 00:19:15,557 --> 00:19:20,276 They consistently outperform those with fragmented brain 296 00:19:20,316 --> 00:19:20,717 states. 297 00:19:20,717 --> 00:19:26,076 Similarly, when automators compete to build automation 298 00:19:26,115 --> 00:19:31,255 solutions, those with Arrowhead Prof profiles see opportunities 299 00:19:31,716 --> 00:19:32,217 others miss. 300 00:19:32,217 --> 00:19:37,076 They maintain focus through complex development challenges. 301 00:19:37,076 --> 00:19:41,126 They create more effective solutions in less time. 302 00:19:41,126 --> 00:19:45,214 This is why human AI coaches become essential. 303 00:19:45,214 --> 00:19:50,523 Their impact extends throughout organisations, from 304 00:19:50,563 --> 00:19:54,170 transforming individual performance to optimising entire 305 00:19:54,170 --> 00:19:58,118 teams and guiding leaders through organisational change. 306 00:19:58,118 --> 00:20:02,031 They don't just help people use AI tools. 307 00:20:02,031 --> 00:20:07,006 They help optimise brain states at every level, helping to 308 00:20:07,066 --> 00:20:10,986 create workplace cultures that make it easier for everyone to 309 00:20:11,046 --> 00:20:12,749 thrive in the AI era. 310 00:20:12,749 --> 00:20:17,317 Sarah found particular resonance with the human AI 311 00:20:17,358 --> 00:20:17,979 coach role. 312 00:20:17,979 --> 00:20:22,191 Looking at these three roles she reflected. 313 00:20:22,191 --> 00:20:26,767 I realised that helping others optimise their brain states 314 00:20:27,247 --> 00:20:28,730 wasn't just something I enjoyed. 315 00:20:28,730 --> 00:20:33,379 It was becoming one of the most valuable skills in this new era 316 00:20:33,379 --> 00:20:33,379 . 317 00:20:33,379 --> 00:20:39,750 Your path forward, as Sarah discovered, understanding these 318 00:20:39,791 --> 00:20:43,118 emerging roles reveals extraordinary opportunities, 319 00:20:44,424 --> 00:20:47,653 whether you're drawn to becoming an innovator creating 320 00:20:47,714 --> 00:20:48,336 breakthroughs. 321 00:20:48,336 --> 00:21:13,409 Whether you're drawn to becoming an innovator creating 322 00:21:13,430 --> 00:21:14,715 breakthroughs, an automator building solutions, or choose to 323 00:21:14,715 --> 00:21:16,321 become a coach yourself, or simply want to help your team 324 00:21:16,341 --> 00:21:16,983 thrive in the AI era.